使用电子医疗记录的非裔美国人LDL胆固醇的高密度GWAS揭示了APOE的强保护性变异。

Clinical and Translational Science Pub Date : 2012-10-01 Epub Date: 2012-08-23 DOI:10.1111/j.1752-8062.2012.00446.x
Laura J Rasmussen-Torvik, Jennifer A Pacheco, Russell A Wilke, William K Thompson, Marylyn D Ritchie, Abel N Kho, Arun Muthalagu, M Geoff Hayes, Loren L Armstrong, Douglas A Scheftner, John T Wilkins, Rebecca L Zuvich, David Crosslin, Dan M Roden, Joshua C Denny, Gail P Jarvik, Christopher S Carlson, Iftikhar J Kullo, Suzette J Bielinski, Catherine A McCarty, Rongling Li, Teri A Manolio, Dana C Crawford, Rex L Chisholm
{"title":"使用电子医疗记录的非裔美国人LDL胆固醇的高密度GWAS揭示了APOE的强保护性变异。","authors":"Laura J Rasmussen-Torvik,&nbsp;Jennifer A Pacheco,&nbsp;Russell A Wilke,&nbsp;William K Thompson,&nbsp;Marylyn D Ritchie,&nbsp;Abel N Kho,&nbsp;Arun Muthalagu,&nbsp;M Geoff Hayes,&nbsp;Loren L Armstrong,&nbsp;Douglas A Scheftner,&nbsp;John T Wilkins,&nbsp;Rebecca L Zuvich,&nbsp;David Crosslin,&nbsp;Dan M Roden,&nbsp;Joshua C Denny,&nbsp;Gail P Jarvik,&nbsp;Christopher S Carlson,&nbsp;Iftikhar J Kullo,&nbsp;Suzette J Bielinski,&nbsp;Catherine A McCarty,&nbsp;Rongling Li,&nbsp;Teri A Manolio,&nbsp;Dana C Crawford,&nbsp;Rex L Chisholm","doi":"10.1111/j.1752-8062.2012.00446.x","DOIUrl":null,"url":null,"abstract":"<p><p>Only one low-density lipoprotein cholesterol (LDL-C) genome-wide association study (GWAS) has been previously reported in -African Americans. We performed a GWAS of LDL-C in African Americans using data extracted from electronic medical records (EMR) in the eMERGE network. African Americans were genotyped on the Illumina 1M chip. All LDL-C measurements, prescriptions, and diagnoses of concomitant disease were extracted from EMR. We created two analytic datasets; one dataset having median LDL-C calculated after the exclusion of some lab values based on comorbidities and medication (n= 618) and another dataset having median LDL-C calculated without any exclusions (n= 1,249). SNP rs7412 in APOE was strongly associated with LDL-C in both datasets (p < 5 × 10(-8) ). In the dataset with exclusions, a decrease of 20.0 mg/dL per minor allele was observed. The effect size was attenuated (12.3 mg/dL) in the dataset without any lab values excluded. Although other signals in APOE have been detected in previous GWAS, this large and important SNP association has not been well detected in large GWAS because rs7412 was not included on many genotyping arrays. Use of median LDL-C extracted from EMR after exclusions for medications and comorbidities increased the percentage of trait variance explained by genetic variation.</p>","PeriodicalId":501617,"journal":{"name":"Clinical and Translational Science","volume":" ","pages":"394-9"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/j.1752-8062.2012.00446.x","citationCount":"47","resultStr":"{\"title\":\"High density GWAS for LDL cholesterol in African Americans using electronic medical records reveals a strong protective variant in APOE.\",\"authors\":\"Laura J Rasmussen-Torvik,&nbsp;Jennifer A Pacheco,&nbsp;Russell A Wilke,&nbsp;William K Thompson,&nbsp;Marylyn D Ritchie,&nbsp;Abel N Kho,&nbsp;Arun Muthalagu,&nbsp;M Geoff Hayes,&nbsp;Loren L Armstrong,&nbsp;Douglas A Scheftner,&nbsp;John T Wilkins,&nbsp;Rebecca L Zuvich,&nbsp;David Crosslin,&nbsp;Dan M Roden,&nbsp;Joshua C Denny,&nbsp;Gail P Jarvik,&nbsp;Christopher S Carlson,&nbsp;Iftikhar J Kullo,&nbsp;Suzette J Bielinski,&nbsp;Catherine A McCarty,&nbsp;Rongling Li,&nbsp;Teri A Manolio,&nbsp;Dana C Crawford,&nbsp;Rex L Chisholm\",\"doi\":\"10.1111/j.1752-8062.2012.00446.x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Only one low-density lipoprotein cholesterol (LDL-C) genome-wide association study (GWAS) has been previously reported in -African Americans. We performed a GWAS of LDL-C in African Americans using data extracted from electronic medical records (EMR) in the eMERGE network. African Americans were genotyped on the Illumina 1M chip. All LDL-C measurements, prescriptions, and diagnoses of concomitant disease were extracted from EMR. We created two analytic datasets; one dataset having median LDL-C calculated after the exclusion of some lab values based on comorbidities and medication (n= 618) and another dataset having median LDL-C calculated without any exclusions (n= 1,249). SNP rs7412 in APOE was strongly associated with LDL-C in both datasets (p < 5 × 10(-8) ). In the dataset with exclusions, a decrease of 20.0 mg/dL per minor allele was observed. The effect size was attenuated (12.3 mg/dL) in the dataset without any lab values excluded. Although other signals in APOE have been detected in previous GWAS, this large and important SNP association has not been well detected in large GWAS because rs7412 was not included on many genotyping arrays. Use of median LDL-C extracted from EMR after exclusions for medications and comorbidities increased the percentage of trait variance explained by genetic variation.</p>\",\"PeriodicalId\":501617,\"journal\":{\"name\":\"Clinical and Translational Science\",\"volume\":\" \",\"pages\":\"394-9\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1111/j.1752-8062.2012.00446.x\",\"citationCount\":\"47\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical and Translational Science\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1111/j.1752-8062.2012.00446.x\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2012/8/23 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical and Translational Science","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/j.1752-8062.2012.00446.x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2012/8/23 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 47

摘要

此前只有一项低密度脂蛋白胆固醇(LDL-C)全基因组关联研究(GWAS)在非裔美国人中被报道过。我们使用从eMERGE网络的电子医疗记录(EMR)中提取的数据对非裔美国人的LDL-C进行了GWAS。非裔美国人在Illumina 1M芯片上进行基因分型。所有LDL-C测量、处方和伴随疾病的诊断均从EMR中提取。我们创建了两个分析数据集;一个数据集的LDL-C中位数是在排除了一些基于合共病和药物的实验室值后计算出来的(n= 618),另一个数据集的LDL-C中位数是在没有任何排除的情况下计算出来的(n= 1249)。在这两个数据集中,APOE中的SNP rs7412与LDL-C密切相关(p < 5 × 10(-8))。在排除的数据集中,观察到每个小等位基因降低20.0 mg/dL。在没有排除任何实验室值的情况下,数据集中的效应值被减弱(12.3 mg/dL)。虽然在以前的GWAS中已经检测到APOE中的其他信号,但由于rs7412没有被包括在许多基因分型阵列中,因此在大型GWAS中没有很好地检测到这种大而重要的SNP关联。在排除药物和合并症后,使用从EMR中提取的中位LDL-C增加了由遗传变异解释的性状方差的百分比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High density GWAS for LDL cholesterol in African Americans using electronic medical records reveals a strong protective variant in APOE.

Only one low-density lipoprotein cholesterol (LDL-C) genome-wide association study (GWAS) has been previously reported in -African Americans. We performed a GWAS of LDL-C in African Americans using data extracted from electronic medical records (EMR) in the eMERGE network. African Americans were genotyped on the Illumina 1M chip. All LDL-C measurements, prescriptions, and diagnoses of concomitant disease were extracted from EMR. We created two analytic datasets; one dataset having median LDL-C calculated after the exclusion of some lab values based on comorbidities and medication (n= 618) and another dataset having median LDL-C calculated without any exclusions (n= 1,249). SNP rs7412 in APOE was strongly associated with LDL-C in both datasets (p < 5 × 10(-8) ). In the dataset with exclusions, a decrease of 20.0 mg/dL per minor allele was observed. The effect size was attenuated (12.3 mg/dL) in the dataset without any lab values excluded. Although other signals in APOE have been detected in previous GWAS, this large and important SNP association has not been well detected in large GWAS because rs7412 was not included on many genotyping arrays. Use of median LDL-C extracted from EMR after exclusions for medications and comorbidities increased the percentage of trait variance explained by genetic variation.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信